Sphere Digital Recruitment
Applied Data Scientist III
Sphere Digital Recruitment, San Francisco, California, United States, 94199
Applied Data Scientist III - Global Ad Tech Business
Industry: Ad Technology / Machine Learning / Optimization
Location: Bay Area (Hybrid)
Salary: $160,000 - $220,000 + RSUs + Benefits
The Exciting Bits The Company Join a global ad tech business building one of the highest-scale ad exchanges in the world-processing tens of trillions of decisions every single day. This team is the algorithmic brain behind the exchange, powering auctions, pricing, fraud detection, and traffic shaping.
They're looking for a
senior applied scientist
who loves building original algorithms from scratch, thrives in fast experimentation cycles, and wants to work alongside world-class scientists and engineers.
Why this company stands out
Operates at mind-blowing scale - true research-grade challenges in production.
A culture that supports both deep research and real-world deployment.
Opportunity to publish, innovate, and shape the future of programmatic advertising.
The Job As the Applied Scientist III, your responsibilities will include:
Designing and building new algorithms for auctions, pricing, pacing, bid shaping, and traffic allocation.
Applying online learning, reinforcement learning, bandits, Bayesian modeling, and game theory to dynamic, adversarial environments.
Running ultra-fast, hours-level experimentation cycles to prove ideas in production.
Owning the entire model lifecycle-from research formulation through deployment and long-term system impact.
Partnering closely with engineering and product to ship models that directly influence real-time marketplace behavior.
Identifying unexplored problems and pioneering novel modeling approaches.
Working with massive-scale distributed systems such as Spark and big-data pipelines.
You You'll be brilliant for this role if you have:
5.5-7 years of applied science or algorithmic research experience with production deployment.
A PhD in CS, Statistics, Math, OR, Physics-or a Master's with exceptional experience.
Deep theoretical grounding in optimization, learning theory, probability, RL, bandits, Bayesian methods, or game theory.
Strong coding experience in Python and scientific computing libraries (NumPy/SciPy, PyTorch/TensorFlow).
Experience working with large-scale data systems (Spark, distributed computing).
A researcher’s mindset paired with a drive to ship production models.
Ad tech, marketplace, or dynamic pricing experience is great-but not required.
Apply Now You can apply for this role of Applied Scientist III now by sending us your CV or by calling us today! Don't forget to register as a candidate too.
Christian Ramirez Senior Consultant / Sphere Digital Recruitment
Sphere Digital Recruitment currently have a variety of opportunities across the digital ecosystem, so feel free to get in touch to see how we can help you. Please take a look at our website.
Sphere is an equal opportunities employer. We encourage applications regardless of race, ethnic origin, religious beliefs, age, disability, gender, sexual orientation, or any other protected status under applicable law.
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The Exciting Bits The Company Join a global ad tech business building one of the highest-scale ad exchanges in the world-processing tens of trillions of decisions every single day. This team is the algorithmic brain behind the exchange, powering auctions, pricing, fraud detection, and traffic shaping.
They're looking for a
senior applied scientist
who loves building original algorithms from scratch, thrives in fast experimentation cycles, and wants to work alongside world-class scientists and engineers.
Why this company stands out
Operates at mind-blowing scale - true research-grade challenges in production.
A culture that supports both deep research and real-world deployment.
Opportunity to publish, innovate, and shape the future of programmatic advertising.
The Job As the Applied Scientist III, your responsibilities will include:
Designing and building new algorithms for auctions, pricing, pacing, bid shaping, and traffic allocation.
Applying online learning, reinforcement learning, bandits, Bayesian modeling, and game theory to dynamic, adversarial environments.
Running ultra-fast, hours-level experimentation cycles to prove ideas in production.
Owning the entire model lifecycle-from research formulation through deployment and long-term system impact.
Partnering closely with engineering and product to ship models that directly influence real-time marketplace behavior.
Identifying unexplored problems and pioneering novel modeling approaches.
Working with massive-scale distributed systems such as Spark and big-data pipelines.
You You'll be brilliant for this role if you have:
5.5-7 years of applied science or algorithmic research experience with production deployment.
A PhD in CS, Statistics, Math, OR, Physics-or a Master's with exceptional experience.
Deep theoretical grounding in optimization, learning theory, probability, RL, bandits, Bayesian methods, or game theory.
Strong coding experience in Python and scientific computing libraries (NumPy/SciPy, PyTorch/TensorFlow).
Experience working with large-scale data systems (Spark, distributed computing).
A researcher’s mindset paired with a drive to ship production models.
Ad tech, marketplace, or dynamic pricing experience is great-but not required.
Apply Now You can apply for this role of Applied Scientist III now by sending us your CV or by calling us today! Don't forget to register as a candidate too.
Christian Ramirez Senior Consultant / Sphere Digital Recruitment
Sphere Digital Recruitment currently have a variety of opportunities across the digital ecosystem, so feel free to get in touch to see how we can help you. Please take a look at our website.
Sphere is an equal opportunities employer. We encourage applications regardless of race, ethnic origin, religious beliefs, age, disability, gender, sexual orientation, or any other protected status under applicable law.
#J-18808-Ljbffr